Overview
Descriptive Statistics by City
Deployments Overview:
|
country
|
city
|
year
|
citylabel
|
|
Cambodia
|
Siem Reap
|
2016
|
Siem Reap 16
|
|
Bangladesh
|
Dhaka
|
2017
|
Dhaka 17
|
|
Ghana
|
Accra
|
2016
|
Accra 16
|
|
Zambia
|
Lusaka
|
2018
|
Lusaka 18
|
|
Mozambique
|
Maputo
|
2015
|
Maputo 15
|
|
Ghana
|
Accra
|
2018
|
Accra 18
|
|
Ghana
|
Kumasi
|
2018
|
Kumasi 18
|
|
Mozambique
|
Maputo
|
2016
|
Maputo 16
|
|
Uganda
|
Kampala
|
2018
|
Kampala 18
|
|
USA
|
Atlanta
|
2016
|
Atlanta 16
|
|
India
|
Vellore
|
2014
|
Vellore 14
|
|
Senegal
|
Dakar
|
2019
|
Dakar 19
|
|
Zambia
|
Lusaka
|
2019
|
Lusaka 19
|
In this database there are 13 SaniPath deployments.
Number of Neighborhoods
Neighborhoods Overview:
|
city
|
country
|
year
|
neighb_UID
|
neighborhood
|
|
Siem Reap
|
Cambodia
|
2016
|
101
|
Chong Kaosou
|
|
Siem Reap
|
Cambodia
|
2016
|
102
|
Kumruthemey (informal)
|
|
Siem Reap
|
Cambodia
|
2016
|
103
|
Kumruthemey (formal)
|
|
Siem Reap
|
Cambodia
|
2016
|
104
|
Steung Thumey
|
|
Siem Reap
|
Cambodia
|
2016
|
105
|
Veal/ Trapangses
|
|
Dhaka
|
Bangladesh
|
2017
|
201
|
Kalshi
|
|
Dhaka
|
Bangladesh
|
2017
|
202
|
Badda
|
|
Dhaka
|
Bangladesh
|
2017
|
203
|
Gabtoli
|
|
Dhaka
|
Bangladesh
|
2017
|
204
|
Uttarkhan
|
|
Dhaka
|
Bangladesh
|
2017
|
205
|
Gulshan
|
|
Dhaka
|
Bangladesh
|
2017
|
206
|
Kamalapur
|
|
Dhaka
|
Bangladesh
|
2017
|
207
|
Shampur
|
|
Dhaka
|
Bangladesh
|
2017
|
208
|
Hazaribagh
|
|
Dhaka
|
Bangladesh
|
2017
|
209
|
Motijhil
|
|
Dhaka
|
Bangladesh
|
2017
|
210
|
Dhanmondi
|
|
Accra
|
Ghana
|
2016
|
301
|
Shiabu
|
|
Accra
|
Ghana
|
2016
|
302
|
Chorkor
|
|
Accra
|
Ghana
|
2016
|
303
|
Kokomlemle
|
|
Accra
|
Ghana
|
2016
|
304
|
Ringway
|
|
Accra
|
Ghana
|
2016
|
305
|
Adabraka
|
|
Lusaka
|
Zambia
|
2018
|
401
|
Kanyama
|
|
Maputo
|
Mozambique
|
2015
|
501
|
Intervention
|
|
Maputo
|
Mozambique
|
2015
|
502
|
Control
|
|
Accra
|
Ghana
|
2018
|
601
|
Mataheko
|
|
Accra
|
Ghana
|
2018
|
602
|
Osu Alata
|
|
Kumasi
|
Ghana
|
2018
|
701
|
FanteNewTown
|
|
Kumasi
|
Ghana
|
2018
|
702
|
MoshieZongo
|
|
Kumasi
|
Ghana
|
2018
|
703
|
Dakodwom
|
|
Kumasi
|
Ghana
|
2018
|
704
|
Ahodwo
|
|
Maputo
|
Mozambique
|
2016
|
801
|
Intervention
|
|
Maputo
|
Mozambique
|
2016
|
802
|
Control
|
|
Kampala
|
Uganda
|
2018
|
901
|
Makindye
|
|
Kampala
|
Uganda
|
2018
|
902
|
Central
|
|
Kampala
|
Uganda
|
2018
|
903
|
Kawempe
|
|
Kampala
|
Uganda
|
2018
|
904
|
Rubaga
|
|
Kampala
|
Uganda
|
2018
|
905
|
Nakawa
|
|
Atlanta
|
USA
|
2016
|
1001
|
Peoplestown
|
|
Vellore
|
India
|
2014
|
1101
|
Old Town
|
|
Vellore
|
India
|
2014
|
1102
|
Chinna Allapuram
|
|
Dakar
|
Senegal
|
2019
|
1201
|
WakhinaneNimzatt
|
|
Dakar
|
Senegal
|
2019
|
1202
|
MedinaGounass
|
|
Dakar
|
Senegal
|
2019
|
1203
|
DTK
|
|
Dakar
|
Senegal
|
2019
|
1204
|
RufisqueEst
|
|
Dakar
|
Senegal
|
2019
|
1205
|
SicapLiberte
|
|
Lusaka
|
Zambia
|
2019
|
1301
|
Chawama
|
|
Lusaka
|
Zambia
|
2019
|
1302
|
Chazanga
|
|
Lusaka
|
Zambia
|
2019
|
1303
|
George
|
Overall, there are 13 deployments in 9 different countries, 10 cities, and 47 neighborhoods in this analysis.
Number of Samples per Pathway
Pathway Overview:
|
|
Accra
|
Atlanta
|
Dakar
|
Dhaka
|
Kampala
|
Kumasi
|
Lusaka
|
Maputo
|
Siem Reap
|
Vellore
|
|
Open Drain Water
|
184
|
|
50
|
100
|
47
|
40
|
50
|
22
|
|
|
|
Raw Produce
|
90
|
10
|
50
|
100
|
50
|
39
|
50
|
23
|
33
|
20
|
|
Municipal Drinking Water
|
88
|
10
|
100
|
100
|
39
|
36
|
40
|
40
|
10
|
22
|
|
Ocean
|
40
|
|
|
|
|
|
|
|
|
|
|
Surface Water
|
|
|
|
100
|
12
|
3
|
10
|
|
|
|
|
Floodwater
|
18
|
7
|
|
100
|
50
|
36
|
30
|
20
|
50
|
|
|
Public Latrine
|
280
|
10
|
|
100
|
50
|
27
|
50
|
71
|
|
24
|
|
Soil
|
108
|
10
|
50
|
100
|
50
|
40
|
50
|
150
|
50
|
20
|
|
Bathing Water
|
9
|
|
|
100
|
|
21
|
|
50
|
10
|
20
|
|
Street Food
|
20
|
|
50
|
100
|
45
|
40
|
50
|
|
|
|
|
Other Drinking Water
|
|
|
|
100
|
39
|
|
90
|
|
150
|
|
Overall, 4053 samples were collected and analyized.
Survey Type and Number of Surveys per Deployment
Survey Type Overview:
|
Form
|
Accra
|
Atlanta
|
Dakar
|
Dhaka
|
Kampala
|
Kumasi
|
Lusaka
|
Maputo
|
Siem Reap
|
Vellore
|
|
Behavioral Survey
|
|
Household
|
1021
|
23
|
500
|
823
|
548
|
400
|
400
|
261
|
410
|
200
|
|
Community
|
30
|
|
20
|
28
|
10
|
16
|
16
|
|
|
8
|
|
School
|
20
|
|
20
|
35
|
9
|
16
|
16
|
|
|
8
|
|
Environmental Testing
|
|
Sample
|
837
|
47
|
300
|
1000
|
382
|
282
|
420
|
376
|
303
|
106
|
|
Lab
|
837
|
47
|
300
|
1000
|
382
|
282
|
420
|
376
|
303
|
106
|
In total, there were 4586 Household Surveys, 128 Community Surveys and 124 School Surveys conducted. Additionally, 4053 environmental samples were collected and subsequently analyzed in the laboratory.
Survey Type and Number of People per Deployment
Form Participants:
|
Form
|
Accra
|
Atlanta
|
Dakar
|
Dhaka
|
Kampala
|
Kumasi
|
Lusaka
|
Maputo
|
Siem Reap
|
Vellore
|
|
Household
|
1021
|
23
|
500
|
823
|
548
|
400
|
400
|
261
|
410
|
200
|
|
Community
|
420
|
|
300
|
501
|
112
|
240
|
298
|
|
|
117
|
|
School
|
435
|
|
300
|
597
|
114
|
320
|
313
|
|
|
151
|
Note: Household survey numbers include the number of surveys, whereas community and school surveys account for number of participants.
MF vs. IDEXX
How many samples were collected for each deployment and each pathway by laboratory analysis method: Membrane Filtration (MF) or IDEXX Quanti-Tray (IDEXX).
Lab Method used:
|
|
IDEXX
|
MF
|
|
Accra
|
0
|
837
|
|
Atlanta
|
47
|
0
|
|
Dakar
|
0
|
300
|
|
Dhaka
|
1000
|
0
|
|
Kampala
|
0
|
382
|
|
Kumasi
|
0
|
282
|
|
Lusaka
|
420
|
0
|
|
Maputo
|
0
|
376
|
|
Siem Reap
|
0
|
303
|
|
Vellore
|
0
|
106
|
Lab Method per Sample Type:
|
|
IDEXX
|
MF
|
|
Open Drain Water
|
150
|
343
|
|
Raw Produce
|
160
|
305
|
|
Municipal Drinking Water
|
150
|
335
|
|
Ocean
|
0
|
40
|
|
Surface Water
|
110
|
15
|
|
Floodwater
|
137
|
174
|
|
Public Latrine
|
160
|
452
|
|
Soil
|
160
|
468
|
|
Bathing Water
|
100
|
110
|
|
Street Food
|
150
|
155
|
|
Other Drinking Water
|
190
|
189
|

Membrane Filtration: valid vs. invalid test results
How many samples tested with the Membrane Filtration method produced valid or invalid results?
Note: Invalid MF results include TDTC (Too Dirty To Count) classifications of laboratory results of samples. Valid MF results are all results between the range of 0 and 200 as well as TNTC (Too Numerous To Count).
Overview: Valid Membrane Filtration Lab Results
|
n
|
valid
|
invalid
|
percent valid
|
|
6030
|
5846
|
184
|
96.95
|
Valid Membrane Filtration Lab Results by Deployment
|
city
|
n
|
valid
|
invalid
|
percent valid
|
|
Accra
|
1905
|
1874
|
31
|
98.37
|
|
Dakar
|
602
|
601
|
1
|
99.83
|
|
Kampala
|
947
|
924
|
23
|
97.57
|
|
Kumasi
|
708
|
670
|
38
|
94.63
|
|
Maputo
|
917
|
840
|
77
|
91.6
|
|
Siem Reap
|
739
|
725
|
14
|
98.11
|
|
Vellore
|
212
|
212
|
0
|
100
|
Valid Membrane Filtration Lab Results by Sample Type
|
sample type
|
n
|
valid
|
invalid
|
percent valid
|
|
Open Drain Water
|
877
|
872
|
5
|
99.43
|
|
Raw Produce
|
770
|
742
|
28
|
96.36
|
|
Municipal Drinking Water
|
671
|
671
|
0
|
100
|
|
Ocean
|
80
|
80
|
0
|
100
|
|
Surface Water
|
32
|
31
|
1
|
96.88
|
|
Floodwater
|
495
|
485
|
10
|
97.98
|
|
Public Latrine
|
910
|
890
|
20
|
97.8
|
|
Soil
|
1185
|
1073
|
112
|
90.55
|
|
Bathing Water
|
220
|
219
|
1
|
99.55
|
|
Street Food
|
410
|
408
|
2
|
99.51
|
|
Other Drinking Water
|
380
|
375
|
5
|
98.68
|
Valid Membrane Filtration Lab Results by city and Sample Type
|
city
|
sample type
|
n
|
valid
|
invalid
|
percent valid
|
|
Accra
|
Open Drain Water
|
531
|
531
|
0
|
100
|
|
Accra
|
Raw Produce
|
199
|
194
|
5
|
97.49
|
|
Accra
|
Municipal Drinking Water
|
176
|
176
|
0
|
100
|
|
Accra
|
Ocean
|
80
|
80
|
0
|
100
|
|
Accra
|
Floodwater
|
45
|
45
|
0
|
100
|
|
Accra
|
Public Latrine
|
560
|
545
|
15
|
97.32
|
|
Accra
|
Soil
|
236
|
225
|
11
|
95.34
|
|
Accra
|
Bathing Water
|
18
|
18
|
0
|
100
|
|
Accra
|
Street Food
|
60
|
60
|
0
|
100
|
|
Dakar
|
Open Drain Water
|
100
|
99
|
1
|
99
|
|
Dakar
|
Raw Produce
|
100
|
100
|
0
|
100
|
|
Dakar
|
Municipal Drinking Water
|
201
|
201
|
0
|
100
|
|
Dakar
|
Soil
|
100
|
100
|
0
|
100
|
|
Dakar
|
Street Food
|
101
|
101
|
0
|
100
|
|
Kampala
|
Open Drain Water
|
100
|
97
|
3
|
97
|
|
Kampala
|
Raw Produce
|
146
|
142
|
4
|
97.26
|
|
Kampala
|
Municipal Drinking Water
|
78
|
78
|
0
|
100
|
|
Kampala
|
Surface Water
|
26
|
25
|
1
|
96.15
|
|
Kampala
|
Floodwater
|
143
|
143
|
0
|
100
|
|
Kampala
|
Public Latrine
|
106
|
102
|
4
|
96.23
|
|
Kampala
|
Soil
|
139
|
129
|
10
|
92.81
|
|
Kampala
|
Street Food
|
129
|
128
|
1
|
99.22
|
|
Kampala
|
Other Drinking Water
|
80
|
80
|
0
|
100
|
|
Kumasi
|
Open Drain Water
|
80
|
79
|
1
|
98.75
|
|
Kumasi
|
Raw Produce
|
117
|
105
|
12
|
89.74
|
|
Kumasi
|
Municipal Drinking Water
|
72
|
72
|
0
|
100
|
|
Kumasi
|
Surface Water
|
6
|
6
|
0
|
100
|
|
Kumasi
|
Floodwater
|
97
|
94
|
3
|
96.91
|
|
Kumasi
|
Public Latrine
|
54
|
53
|
1
|
98.15
|
|
Kumasi
|
Soil
|
120
|
101
|
19
|
84.17
|
|
Kumasi
|
Bathing Water
|
42
|
41
|
1
|
97.62
|
|
Kumasi
|
Street Food
|
120
|
119
|
1
|
99.17
|
|
Maputo
|
Open Drain Water
|
66
|
66
|
0
|
100
|
|
Maputo
|
Raw Produce
|
69
|
67
|
2
|
97.1
|
|
Maputo
|
Municipal Drinking Water
|
80
|
80
|
0
|
100
|
|
Maputo
|
Floodwater
|
60
|
54
|
6
|
90
|
|
Maputo
|
Public Latrine
|
142
|
142
|
0
|
100
|
|
Maputo
|
Soil
|
400
|
331
|
69
|
82.75
|
|
Maputo
|
Bathing Water
|
100
|
100
|
0
|
100
|
|
Siem Reap
|
Raw Produce
|
99
|
94
|
5
|
94.95
|
|
Siem Reap
|
Municipal Drinking Water
|
20
|
20
|
0
|
100
|
|
Siem Reap
|
Floodwater
|
150
|
149
|
1
|
99.33
|
|
Siem Reap
|
Soil
|
150
|
147
|
3
|
98
|
|
Siem Reap
|
Bathing Water
|
20
|
20
|
0
|
100
|
|
Siem Reap
|
Other Drinking Water
|
300
|
295
|
5
|
98.33
|
|
Vellore
|
Raw Produce
|
40
|
40
|
0
|
100
|
|
Vellore
|
Municipal Drinking Water
|
44
|
44
|
0
|
100
|
|
Vellore
|
Public Latrine
|
48
|
48
|
0
|
100
|
|
Vellore
|
Soil
|
40
|
40
|
0
|
100
|
|
Vellore
|
Bathing Water
|
40
|
40
|
0
|
100
|
These results suggest sample types with a low percentage of validity of MF testing could improve the overall data quality by addressing potential sampling problems in training. Numbers in the “Percent Valid” column in RED indicate a rate below 80%.
IDEXX: valid vs. invalid test results
How many samples tested with IDEXX method produced a valid or invalid result?
Valid IDEXX Lab Results
|
n
|
valid
|
invalid
|
percent valid
|
|
3668
|
3667
|
1
|
99.97
|
Dilution Error
When a dilution error occurs, meaning that a sample was not properly processed in the laboratory, the SaniPath Tool automatically discards the E. coli results of this sample (e.g. when the E. coli count for the second dilution is higher than the first dilution - including a variety of possible combinations of illogical results and potential errors).
This section explores how many samples were lost due to dilution error.
Dilution Error Overview:
Dilution Error by City
|
city
|
omitted
|
n
|
percentage
|
|
Accra
|
18
|
837
|
2.15
|
|
Atlanta
|
0
|
47
|
0.00
|
|
Dakar
|
15
|
300
|
5.00
|
|
Dhaka
|
53
|
1000
|
5.30
|
|
Kampala
|
46
|
382
|
12.04
|
|
Kumasi
|
3
|
282
|
1.06
|
|
Lusaka
|
20
|
420
|
4.76
|
|
Maputo
|
22
|
376
|
5.85
|
|
Siem Reap
|
5
|
303
|
1.65
|
|
Vellore
|
9
|
106
|
8.49
|

Dilution Error By city, by neighborhood
Dilution Error by City and Neighborhood
|
city
|
neighb_UID
|
omitted
|
n
|
percentage
|
|
Accra
|
301
|
3
|
93
|
3.23
|
|
Accra
|
302
|
4
|
253
|
1.58
|
|
Accra
|
303
|
7
|
124
|
5.65
|
|
Accra
|
304
|
2
|
85
|
2.35
|
|
Accra
|
305
|
2
|
133
|
1.50
|
|
Dakar
|
1201
|
3
|
60
|
5.00
|
|
Dakar
|
1202
|
1
|
60
|
1.67
|
|
Dakar
|
1203
|
2
|
60
|
3.33
|
|
Dakar
|
1204
|
8
|
60
|
13.33
|
|
Dakar
|
1205
|
1
|
60
|
1.67
|
|
Dhaka
|
201
|
8
|
100
|
8.00
|
|
Dhaka
|
202
|
2
|
100
|
2.00
|
|
Dhaka
|
203
|
3
|
100
|
3.00
|
|
Dhaka
|
204
|
9
|
100
|
9.00
|
|
Dhaka
|
205
|
2
|
100
|
2.00
|
|
Dhaka
|
206
|
6
|
100
|
6.00
|
|
Dhaka
|
207
|
3
|
100
|
3.00
|
|
Dhaka
|
208
|
6
|
100
|
6.00
|
|
Dhaka
|
209
|
10
|
100
|
10.00
|
|
Dhaka
|
210
|
4
|
100
|
4.00
|
|
Kampala
|
901
|
14
|
67
|
20.90
|
|
Kampala
|
902
|
9
|
78
|
11.54
|
|
Kampala
|
903
|
2
|
78
|
2.56
|
|
Kampala
|
904
|
15
|
77
|
19.48
|
|
Kampala
|
905
|
6
|
82
|
7.32
|
|
Kumasi
|
701
|
2
|
68
|
2.94
|
|
Kumasi
|
702
|
1
|
79
|
1.27
|
|
Lusaka
|
401
|
18
|
170
|
10.59
|
|
Lusaka
|
1301
|
2
|
90
|
2.22
|
|
Maputo
|
501
|
7
|
98
|
7.14
|
|
Maputo
|
502
|
5
|
54
|
9.26
|
|
Maputo
|
801
|
8
|
152
|
5.26
|
|
Maputo
|
802
|
2
|
72
|
2.78
|
|
Siem Reap
|
101
|
2
|
70
|
2.86
|
|
Siem Reap
|
102
|
2
|
60
|
3.33
|
|
Siem Reap
|
103
|
1
|
49
|
2.04
|
|
Vellore
|
1101
|
2
|
53
|
3.77
|
|
Vellore
|
1102
|
7
|
53
|
13.21
|

Dilution Error By city, by neighborhood, by sample
Dilution Error by City and Neighborhood and Sample Type
|
city
|
neighb_UID
|
sample_type_name
|
omitted
|
n
|
percentage
|
|
Accra
|
301
|
Open Drain Water
|
1
|
16
|
6.25
|
|
Accra
|
301
|
Raw Produce
|
1
|
20
|
5.00
|
|
Accra
|
301
|
Soil
|
1
|
18
|
5.56
|
|
Accra
|
302
|
Raw Produce
|
2
|
20
|
10.00
|
|
Accra
|
302
|
Public Latrine
|
1
|
95
|
1.05
|
|
Accra
|
302
|
Soil
|
1
|
40
|
2.50
|
|
Accra
|
303
|
Raw Produce
|
5
|
9
|
55.56
|
|
Accra
|
303
|
Public Latrine
|
2
|
59
|
3.39
|
|
Accra
|
304
|
Raw Produce
|
1
|
10
|
10.00
|
|
Accra
|
304
|
Public Latrine
|
1
|
29
|
3.45
|
|
Accra
|
305
|
Raw Produce
|
2
|
11
|
18.18
|
|
Dakar
|
1201
|
Soil
|
2
|
10
|
20.00
|
|
Dakar
|
1201
|
Street Food
|
1
|
10
|
10.00
|
|
Dakar
|
1202
|
Open Drain Water
|
1
|
10
|
10.00
|
|
Dakar
|
1203
|
Open Drain Water
|
1
|
10
|
10.00
|
|
Dakar
|
1203
|
Soil
|
1
|
10
|
10.00
|
|
Dakar
|
1204
|
Open Drain Water
|
7
|
10
|
70.00
|
|
Dakar
|
1204
|
Soil
|
1
|
10
|
10.00
|
|
Dakar
|
1205
|
Soil
|
1
|
10
|
10.00
|
|
Dhaka
|
201
|
Open Drain Water
|
1
|
10
|
10.00
|
|
Dhaka
|
201
|
Raw Produce
|
1
|
10
|
10.00
|
|
Dhaka
|
201
|
Floodwater
|
2
|
10
|
20.00
|
|
Dhaka
|
201
|
Soil
|
2
|
10
|
20.00
|
|
Dhaka
|
201
|
Street Food
|
2
|
10
|
20.00
|
|
Dhaka
|
202
|
Raw Produce
|
2
|
10
|
20.00
|
|
Dhaka
|
203
|
Raw Produce
|
1
|
10
|
10.00
|
|
Dhaka
|
203
|
Soil
|
1
|
10
|
10.00
|
|
Dhaka
|
203
|
Street Food
|
1
|
10
|
10.00
|
|
Dhaka
|
204
|
Raw Produce
|
2
|
10
|
20.00
|
|
Dhaka
|
204
|
Surface Water
|
1
|
10
|
10.00
|
|
Dhaka
|
204
|
Floodwater
|
2
|
10
|
20.00
|
|
Dhaka
|
204
|
Soil
|
1
|
10
|
10.00
|
|
Dhaka
|
204
|
Street Food
|
3
|
10
|
30.00
|
|
Dhaka
|
205
|
Floodwater
|
1
|
10
|
10.00
|
|
Dhaka
|
205
|
Street Food
|
1
|
10
|
10.00
|
|
Dhaka
|
206
|
Raw Produce
|
2
|
10
|
20.00
|
|
Dhaka
|
206
|
Surface Water
|
1
|
10
|
10.00
|
|
Dhaka
|
206
|
Floodwater
|
1
|
10
|
10.00
|
|
Dhaka
|
206
|
Soil
|
1
|
10
|
10.00
|
|
Dhaka
|
206
|
Street Food
|
1
|
10
|
10.00
|
|
Dhaka
|
207
|
Raw Produce
|
2
|
10
|
20.00
|
|
Dhaka
|
207
|
Soil
|
1
|
10
|
10.00
|
|
Dhaka
|
208
|
Raw Produce
|
1
|
10
|
10.00
|
|
Dhaka
|
208
|
Floodwater
|
1
|
10
|
10.00
|
|
Dhaka
|
208
|
Soil
|
2
|
10
|
20.00
|
|
Dhaka
|
208
|
Street Food
|
2
|
10
|
20.00
|
|
Dhaka
|
209
|
Raw Produce
|
2
|
10
|
20.00
|
|
Dhaka
|
209
|
Surface Water
|
2
|
10
|
20.00
|
|
Dhaka
|
209
|
Soil
|
2
|
10
|
20.00
|
|
Dhaka
|
209
|
Street Food
|
4
|
10
|
40.00
|
|
Dhaka
|
210
|
Surface Water
|
1
|
10
|
10.00
|
|
Dhaka
|
210
|
Soil
|
1
|
10
|
10.00
|
|
Dhaka
|
210
|
Street Food
|
2
|
10
|
20.00
|
|
Kampala
|
901
|
Raw Produce
|
1
|
10
|
10.00
|
|
Kampala
|
901
|
Surface Water
|
3
|
8
|
37.50
|
|
Kampala
|
901
|
Public Latrine
|
3
|
10
|
30.00
|
|
Kampala
|
901
|
Soil
|
2
|
10
|
20.00
|
|
Kampala
|
901
|
Street Food
|
5
|
10
|
50.00
|
|
Kampala
|
902
|
Raw Produce
|
4
|
10
|
40.00
|
|
Kampala
|
902
|
Soil
|
1
|
10
|
10.00
|
|
Kampala
|
902
|
Street Food
|
3
|
9
|
33.33
|
|
Kampala
|
902
|
Other Drinking Water
|
1
|
10
|
10.00
|
|
Kampala
|
903
|
Raw Produce
|
1
|
10
|
10.00
|
|
Kampala
|
903
|
Soil
|
1
|
10
|
10.00
|
|
Kampala
|
904
|
Raw Produce
|
3
|
10
|
30.00
|
|
Kampala
|
904
|
Floodwater
|
3
|
10
|
30.00
|
|
Kampala
|
904
|
Soil
|
4
|
10
|
40.00
|
|
Kampala
|
904
|
Street Food
|
4
|
10
|
40.00
|
|
Kampala
|
904
|
Other Drinking Water
|
1
|
10
|
10.00
|
|
Kampala
|
905
|
Floodwater
|
1
|
10
|
10.00
|
|
Kampala
|
905
|
Soil
|
2
|
10
|
20.00
|
|
Kampala
|
905
|
Other Drinking Water
|
3
|
10
|
30.00
|
|
Kumasi
|
701
|
Raw Produce
|
1
|
9
|
11.11
|
|
Kumasi
|
701
|
Street Food
|
1
|
10
|
10.00
|
|
Kumasi
|
702
|
Public Latrine
|
1
|
9
|
11.11
|
|
Lusaka
|
401
|
Open Drain Water
|
2
|
20
|
10.00
|
|
Lusaka
|
401
|
Raw Produce
|
1
|
20
|
5.00
|
|
Lusaka
|
401
|
Floodwater
|
10
|
30
|
33.33
|
|
Lusaka
|
401
|
Soil
|
4
|
20
|
20.00
|
|
Lusaka
|
401
|
Street Food
|
1
|
20
|
5.00
|
|
Lusaka
|
1301
|
Soil
|
2
|
10
|
20.00
|
|
Maputo
|
501
|
Open Drain Water
|
1
|
9
|
11.11
|
|
Maputo
|
501
|
Soil
|
5
|
54
|
9.26
|
|
Maputo
|
501
|
Bathing Water
|
1
|
15
|
6.67
|
|
Maputo
|
502
|
Open Drain Water
|
1
|
6
|
16.67
|
|
Maputo
|
502
|
Floodwater
|
2
|
5
|
40.00
|
|
Maputo
|
502
|
Soil
|
2
|
20
|
10.00
|
|
Maputo
|
801
|
Municipal Drinking Water
|
1
|
30
|
3.33
|
|
Maputo
|
801
|
Public Latrine
|
5
|
30
|
16.67
|
|
Maputo
|
801
|
Soil
|
1
|
57
|
1.75
|
|
Maputo
|
801
|
Bathing Water
|
1
|
15
|
6.67
|
|
Maputo
|
802
|
Raw Produce
|
1
|
8
|
12.50
|
|
Maputo
|
802
|
Municipal Drinking Water
|
1
|
10
|
10.00
|
|
Siem Reap
|
101
|
Raw Produce
|
2
|
10
|
20.00
|
|
Siem Reap
|
102
|
Raw Produce
|
2
|
10
|
20.00
|
|
Siem Reap
|
103
|
Other Drinking Water
|
1
|
29
|
3.45
|
|
Vellore
|
1101
|
Municipal Drinking Water
|
2
|
11
|
18.18
|
|
Vellore
|
1102
|
Municipal Drinking Water
|
2
|
11
|
18.18
|
|
Vellore
|
1102
|
Public Latrine
|
1
|
12
|
8.33
|
|
Vellore
|
1102
|
Soil
|
1
|
10
|
10.00
|
|
Vellore
|
1102
|
Bathing Water
|
3
|
10
|
30.00
|
Sample Size Minimum for Model:
To correctly perform the QMRA calculations, a minimum sample size of 10 samples has to be met. Which sample types per neighborhood and deployment have fulfilled the requirement? (omitted = sample discarded because of error)
Number of pathways that did not meet the requred 10 sample minimum, per deployment:
Requirements Not Met - Overview
|
citylabel
|
neighb_UID
|
not_met
|
|
Maputo 15
|
501
|
2
|
|
Maputo 15
|
502
|
2
|
|
Accra 16
|
303
|
2
|
|
Accra 16
|
304
|
1
|
|
Accra 16
|
305
|
1
|
|
Maputo 16
|
801
|
1
|
|
Maputo 16
|
802
|
3
|
|
Siem Reap 16
|
105
|
1
|
|
Atlanta 16
|
1001
|
1
|
|
Accra 18
|
601
|
2
|
|
Accra 18
|
602
|
2
|
|
Kumasi 18
|
701
|
3
|
|
Kumasi 18
|
702
|
1
|
|
Kumasi 18
|
703
|
3
|
|
Kumasi 18
|
704
|
2
|
|
Kampala 18
|
901
|
2
|
|
Kampala 18
|
902
|
2
|
|
Kampala 18
|
903
|
4
|
|
Kampala 18
|
904
|
1
|
Minimum Requirement Met?
|
citylabel
|
neighb_UID
|
sample_type_name
|
omitted
|
n
|
requ_met
|
net_n
|
net_requ_met
|
|
Vellore 14
|
1101
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Vellore 14
|
1101
|
Municipal Drinking Water
|
2
|
11
|
Yes
|
9
|
No
|
|
Vellore 14
|
1101
|
Public Latrine
|
0
|
12
|
Yes
|
12
|
Yes
|
|
Vellore 14
|
1101
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Vellore 14
|
1101
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Vellore 14
|
1102
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Vellore 14
|
1102
|
Municipal Drinking Water
|
2
|
11
|
Yes
|
9
|
No
|
|
Vellore 14
|
1102
|
Public Latrine
|
1
|
12
|
Yes
|
11
|
Yes
|
|
Vellore 14
|
1102
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Vellore 14
|
1102
|
Bathing Water
|
3
|
10
|
Yes
|
7
|
No
|
|
Maputo 15
|
501
|
Open Drain Water
|
1
|
9
|
No
|
8
|
No
|
|
Maputo 15
|
501
|
Floodwater
|
0
|
5
|
No
|
5
|
No
|
|
Maputo 15
|
501
|
Public Latrine
|
0
|
15
|
Yes
|
15
|
Yes
|
|
Maputo 15
|
501
|
Soil
|
5
|
54
|
Yes
|
49
|
Yes
|
|
Maputo 15
|
501
|
Bathing Water
|
1
|
15
|
Yes
|
14
|
Yes
|
|
Maputo 15
|
502
|
Open Drain Water
|
1
|
6
|
No
|
5
|
No
|
|
Maputo 15
|
502
|
Floodwater
|
2
|
5
|
No
|
3
|
No
|
|
Maputo 15
|
502
|
Public Latrine
|
0
|
13
|
Yes
|
13
|
Yes
|
|
Maputo 15
|
502
|
Soil
|
2
|
20
|
Yes
|
18
|
Yes
|
|
Maputo 15
|
502
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 16
|
301
|
Open Drain Water
|
1
|
16
|
Yes
|
15
|
Yes
|
|
Accra 16
|
301
|
Raw Produce
|
1
|
20
|
Yes
|
19
|
Yes
|
|
Accra 16
|
301
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 16
|
301
|
Ocean
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 16
|
301
|
Public Latrine
|
0
|
19
|
Yes
|
19
|
Yes
|
|
Accra 16
|
301
|
Soil
|
1
|
18
|
Yes
|
17
|
Yes
|
|
Accra 16
|
302
|
Open Drain Water
|
0
|
48
|
Yes
|
48
|
Yes
|
|
Accra 16
|
302
|
Raw Produce
|
2
|
20
|
Yes
|
18
|
Yes
|
|
Accra 16
|
302
|
Municipal Drinking Water
|
0
|
30
|
Yes
|
30
|
Yes
|
|
Accra 16
|
302
|
Ocean
|
0
|
20
|
Yes
|
20
|
Yes
|
|
Accra 16
|
302
|
Public Latrine
|
1
|
95
|
Yes
|
94
|
Yes
|
|
Accra 16
|
302
|
Soil
|
1
|
40
|
Yes
|
39
|
Yes
|
|
Accra 16
|
303
|
Open Drain Water
|
0
|
37
|
Yes
|
37
|
Yes
|
|
Accra 16
|
303
|
Raw Produce
|
5
|
9
|
No
|
4
|
No
|
|
Accra 16
|
303
|
Municipal Drinking Water
|
0
|
9
|
No
|
9
|
No
|
|
Accra 16
|
303
|
Public Latrine
|
2
|
59
|
Yes
|
57
|
Yes
|
|
Accra 16
|
303
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 16
|
304
|
Open Drain Water
|
0
|
27
|
Yes
|
27
|
Yes
|
|
Accra 16
|
304
|
Raw Produce
|
1
|
10
|
Yes
|
9
|
No
|
|
Accra 16
|
304
|
Municipal Drinking Water
|
0
|
9
|
No
|
9
|
No
|
|
Accra 16
|
304
|
Public Latrine
|
1
|
29
|
Yes
|
28
|
Yes
|
|
Accra 16
|
304
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 16
|
305
|
Open Drain Water
|
0
|
35
|
Yes
|
35
|
Yes
|
|
Accra 16
|
305
|
Raw Produce
|
2
|
11
|
Yes
|
9
|
No
|
|
Accra 16
|
305
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 16
|
305
|
Floodwater
|
0
|
9
|
No
|
9
|
No
|
|
Accra 16
|
305
|
Public Latrine
|
0
|
58
|
Yes
|
58
|
Yes
|
|
Accra 16
|
305
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Maputo 16
|
801
|
Raw Produce
|
0
|
15
|
Yes
|
15
|
Yes
|
|
Maputo 16
|
801
|
Municipal Drinking Water
|
1
|
30
|
Yes
|
29
|
Yes
|
|
Maputo 16
|
801
|
Floodwater
|
0
|
5
|
No
|
5
|
No
|
|
Maputo 16
|
801
|
Public Latrine
|
5
|
30
|
Yes
|
25
|
Yes
|
|
Maputo 16
|
801
|
Soil
|
1
|
57
|
Yes
|
56
|
Yes
|
|
Maputo 16
|
801
|
Bathing Water
|
1
|
15
|
Yes
|
14
|
Yes
|
|
Maputo 16
|
802
|
Open Drain Water
|
0
|
7
|
No
|
7
|
No
|
|
Maputo 16
|
802
|
Raw Produce
|
1
|
8
|
No
|
7
|
No
|
|
Maputo 16
|
802
|
Municipal Drinking Water
|
1
|
10
|
Yes
|
9
|
No
|
|
Maputo 16
|
802
|
Floodwater
|
0
|
5
|
No
|
5
|
No
|
|
Maputo 16
|
802
|
Public Latrine
|
0
|
13
|
Yes
|
13
|
Yes
|
|
Maputo 16
|
802
|
Soil
|
0
|
19
|
Yes
|
19
|
Yes
|
|
Maputo 16
|
802
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
101
|
Raw Produce
|
2
|
10
|
Yes
|
8
|
No
|
|
Siem Reap 16
|
101
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
101
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
101
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
101
|
Other Drinking Water
|
0
|
30
|
Yes
|
30
|
Yes
|
|
Siem Reap 16
|
102
|
Raw Produce
|
2
|
10
|
Yes
|
8
|
No
|
|
Siem Reap 16
|
102
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
102
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
102
|
Other Drinking Water
|
0
|
30
|
Yes
|
30
|
Yes
|
|
Siem Reap 16
|
103
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
103
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
103
|
Other Drinking Water
|
1
|
29
|
Yes
|
28
|
Yes
|
|
Siem Reap 16
|
104
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
104
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
104
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
104
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
104
|
Other Drinking Water
|
0
|
31
|
Yes
|
31
|
Yes
|
|
Siem Reap 16
|
105
|
Raw Produce
|
0
|
3
|
No
|
3
|
No
|
|
Siem Reap 16
|
105
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
105
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Siem Reap 16
|
105
|
Other Drinking Water
|
0
|
30
|
Yes
|
30
|
Yes
|
|
Atlanta 16
|
1001
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Atlanta 16
|
1001
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Atlanta 16
|
1001
|
Floodwater
|
0
|
7
|
No
|
7
|
No
|
|
Atlanta 16
|
1001
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Atlanta 16
|
1001
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
201
|
Open Drain Water
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
201
|
Raw Produce
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
201
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
201
|
Surface Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
201
|
Floodwater
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
201
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
201
|
Soil
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
201
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
201
|
Street Food
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
201
|
Other Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
202
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
202
|
Raw Produce
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
202
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
202
|
Surface Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
202
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
202
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
202
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
202
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
202
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
202
|
Other Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
203
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
203
|
Raw Produce
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
203
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
203
|
Surface Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
203
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
203
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
203
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
203
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
203
|
Street Food
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
203
|
Other Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
204
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
204
|
Raw Produce
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
204
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
204
|
Surface Water
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
204
|
Floodwater
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
204
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
204
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
204
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
204
|
Street Food
|
3
|
10
|
Yes
|
7
|
No
|
|
Dhaka 17
|
204
|
Other Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
205
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
205
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
205
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
205
|
Surface Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
205
|
Floodwater
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
205
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
205
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
205
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
205
|
Street Food
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
205
|
Other Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
206
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
206
|
Raw Produce
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
206
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
206
|
Surface Water
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
206
|
Floodwater
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
206
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
206
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
206
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
206
|
Street Food
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
206
|
Other Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
207
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
207
|
Raw Produce
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
207
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
207
|
Surface Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
207
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
207
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
207
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
207
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
207
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
207
|
Other Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
208
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
208
|
Raw Produce
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
208
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
208
|
Surface Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
208
|
Floodwater
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
208
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
208
|
Soil
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
208
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
208
|
Street Food
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
208
|
Other Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
209
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
209
|
Raw Produce
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
209
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
209
|
Surface Water
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
209
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
209
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
209
|
Soil
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
209
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
209
|
Street Food
|
4
|
10
|
Yes
|
6
|
No
|
|
Dhaka 17
|
209
|
Other Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
210
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
210
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
210
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
210
|
Surface Water
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
210
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
210
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
210
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Dhaka 17
|
210
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dhaka 17
|
210
|
Street Food
|
2
|
10
|
Yes
|
8
|
No
|
|
Dhaka 17
|
210
|
Other Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 18
|
401
|
Open Drain Water
|
2
|
20
|
Yes
|
18
|
Yes
|
|
Lusaka 18
|
401
|
Raw Produce
|
1
|
20
|
Yes
|
19
|
Yes
|
|
Lusaka 18
|
401
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 18
|
401
|
Floodwater
|
10
|
30
|
Yes
|
20
|
Yes
|
|
Lusaka 18
|
401
|
Public Latrine
|
0
|
20
|
Yes
|
20
|
Yes
|
|
Lusaka 18
|
401
|
Soil
|
4
|
20
|
Yes
|
16
|
Yes
|
|
Lusaka 18
|
401
|
Street Food
|
1
|
20
|
Yes
|
19
|
Yes
|
|
Lusaka 18
|
401
|
Other Drinking Water
|
0
|
30
|
Yes
|
30
|
Yes
|
|
Accra 18
|
601
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
601
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
601
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
601
|
Floodwater
|
0
|
4
|
No
|
4
|
No
|
|
Accra 18
|
601
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
601
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
601
|
Bathing Water
|
0
|
4
|
No
|
4
|
No
|
|
Accra 18
|
601
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
602
|
Open Drain Water
|
0
|
11
|
Yes
|
11
|
Yes
|
|
Accra 18
|
602
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
602
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
602
|
Ocean
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
602
|
Floodwater
|
0
|
5
|
No
|
5
|
No
|
|
Accra 18
|
602
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
602
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Accra 18
|
602
|
Bathing Water
|
0
|
5
|
No
|
5
|
No
|
|
Accra 18
|
602
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
701
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
701
|
Raw Produce
|
1
|
9
|
No
|
8
|
No
|
|
Kumasi 18
|
701
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
701
|
Floodwater
|
0
|
6
|
No
|
6
|
No
|
|
Kumasi 18
|
701
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
701
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
701
|
Bathing Water
|
0
|
3
|
No
|
3
|
No
|
|
Kumasi 18
|
701
|
Street Food
|
1
|
10
|
Yes
|
9
|
No
|
|
Kumasi 18
|
702
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
702
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
702
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
702
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
702
|
Public Latrine
|
1
|
9
|
No
|
8
|
No
|
|
Kumasi 18
|
702
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
702
|
Bathing Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
702
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
703
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
703
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
703
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
703
|
Surface Water
|
0
|
3
|
No
|
3
|
No
|
|
Kumasi 18
|
703
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
703
|
Public Latrine
|
0
|
4
|
No
|
4
|
No
|
|
Kumasi 18
|
703
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
703
|
Bathing Water
|
0
|
8
|
No
|
8
|
No
|
|
Kumasi 18
|
703
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
704
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
704
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
704
|
Municipal Drinking Water
|
0
|
6
|
No
|
6
|
No
|
|
Kumasi 18
|
704
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
704
|
Public Latrine
|
0
|
4
|
No
|
4
|
No
|
|
Kumasi 18
|
704
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kumasi 18
|
704
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
901
|
Open Drain Water
|
0
|
9
|
No
|
9
|
No
|
|
Kampala 18
|
901
|
Raw Produce
|
1
|
10
|
Yes
|
9
|
No
|
|
Kampala 18
|
901
|
Surface Water
|
3
|
8
|
No
|
5
|
No
|
|
Kampala 18
|
901
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
901
|
Public Latrine
|
3
|
10
|
Yes
|
7
|
No
|
|
Kampala 18
|
901
|
Soil
|
2
|
10
|
Yes
|
8
|
No
|
|
Kampala 18
|
901
|
Street Food
|
5
|
10
|
Yes
|
5
|
No
|
|
Kampala 18
|
902
|
Open Drain Water
|
0
|
9
|
No
|
9
|
No
|
|
Kampala 18
|
902
|
Raw Produce
|
4
|
10
|
Yes
|
6
|
No
|
|
Kampala 18
|
902
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
902
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
902
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
902
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Kampala 18
|
902
|
Street Food
|
3
|
9
|
No
|
6
|
No
|
|
Kampala 18
|
902
|
Other Drinking Water
|
1
|
10
|
Yes
|
9
|
No
|
|
Kampala 18
|
903
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
903
|
Raw Produce
|
1
|
10
|
Yes
|
9
|
No
|
|
Kampala 18
|
903
|
Municipal Drinking Water
|
0
|
9
|
No
|
9
|
No
|
|
Kampala 18
|
903
|
Surface Water
|
0
|
4
|
No
|
4
|
No
|
|
Kampala 18
|
903
|
Floodwater
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
903
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
903
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Kampala 18
|
903
|
Street Food
|
0
|
6
|
No
|
6
|
No
|
|
Kampala 18
|
903
|
Other Drinking Water
|
0
|
9
|
No
|
9
|
No
|
|
Kampala 18
|
904
|
Open Drain Water
|
0
|
7
|
No
|
7
|
No
|
|
Kampala 18
|
904
|
Raw Produce
|
3
|
10
|
Yes
|
7
|
No
|
|
Kampala 18
|
904
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
904
|
Floodwater
|
3
|
10
|
Yes
|
7
|
No
|
|
Kampala 18
|
904
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
904
|
Soil
|
4
|
10
|
Yes
|
6
|
No
|
|
Kampala 18
|
904
|
Street Food
|
4
|
10
|
Yes
|
6
|
No
|
|
Kampala 18
|
904
|
Other Drinking Water
|
1
|
10
|
Yes
|
9
|
No
|
|
Kampala 18
|
905
|
Open Drain Water
|
0
|
12
|
Yes
|
12
|
Yes
|
|
Kampala 18
|
905
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
905
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
905
|
Floodwater
|
1
|
10
|
Yes
|
9
|
No
|
|
Kampala 18
|
905
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
905
|
Soil
|
2
|
10
|
Yes
|
8
|
No
|
|
Kampala 18
|
905
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Kampala 18
|
905
|
Other Drinking Water
|
3
|
10
|
Yes
|
7
|
No
|
|
Lusaka 19
|
1301
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1301
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1301
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1301
|
Surface Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1301
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1301
|
Soil
|
2
|
10
|
Yes
|
8
|
No
|
|
Lusaka 19
|
1301
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1301
|
Other Drinking Water
|
0
|
20
|
Yes
|
20
|
Yes
|
|
Lusaka 19
|
1302
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1302
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1302
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1302
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1302
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1302
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1302
|
Other Drinking Water
|
0
|
20
|
Yes
|
20
|
Yes
|
|
Lusaka 19
|
1303
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1303
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1303
|
Municipal Drinking Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1303
|
Public Latrine
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1303
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1303
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Lusaka 19
|
1303
|
Other Drinking Water
|
0
|
20
|
Yes
|
20
|
Yes
|
|
Dakar 19
|
1201
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1201
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1201
|
Municipal Drinking Water
|
0
|
20
|
Yes
|
20
|
Yes
|
|
Dakar 19
|
1201
|
Soil
|
2
|
10
|
Yes
|
8
|
No
|
|
Dakar 19
|
1201
|
Street Food
|
1
|
10
|
Yes
|
9
|
No
|
|
Dakar 19
|
1202
|
Open Drain Water
|
1
|
10
|
Yes
|
9
|
No
|
|
Dakar 19
|
1202
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1202
|
Municipal Drinking Water
|
0
|
20
|
Yes
|
20
|
Yes
|
|
Dakar 19
|
1202
|
Soil
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1202
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1203
|
Open Drain Water
|
1
|
10
|
Yes
|
9
|
No
|
|
Dakar 19
|
1203
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1203
|
Municipal Drinking Water
|
0
|
20
|
Yes
|
20
|
Yes
|
|
Dakar 19
|
1203
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Dakar 19
|
1203
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1204
|
Open Drain Water
|
7
|
10
|
Yes
|
3
|
No
|
|
Dakar 19
|
1204
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1204
|
Municipal Drinking Water
|
0
|
20
|
Yes
|
20
|
Yes
|
|
Dakar 19
|
1204
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Dakar 19
|
1204
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1205
|
Open Drain Water
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1205
|
Raw Produce
|
0
|
10
|
Yes
|
10
|
Yes
|
|
Dakar 19
|
1205
|
Municipal Drinking Water
|
0
|
20
|
Yes
|
20
|
Yes
|
|
Dakar 19
|
1205
|
Soil
|
1
|
10
|
Yes
|
9
|
No
|
|
Dakar 19
|
1205
|
Street Food
|
0
|
10
|
Yes
|
10
|
Yes
|